A Strategic HRM Framework Integrating Cognitive, Generative, and Sentient AI for Talent Intelligence in Smart Enterprises

Abstract

The accelerating integration of artificial intelligence (AI) within smart enterprises has significantly reshaped the scope and effectiveness of Human Resource Management (HRM). As organizations increasingly rely on intelligent systems, HR functions are evolving from administrative support to strategic decision-making roles. This study proposes a comprehensive strategic HRM framework that integrates three advanced AI paradigms – Cognitive AI, Generative AI, and Sentient AI – to strengthen talent intelligence and workforce planning. Cognitive AI enables predictive analytics, performance forecasting, and evidence-based HR decisions through the analysis of large-scale employee data. Generative AI enhances strategic capabilities by supporting scenario modeling, personalized learning pathways, competency development, and workforce simulations. In parallel, Sentient AI contributes context-aware and adaptive insights by interpreting behavioral cues, organizational dynamics, and real- time environmental factors. The synergistic integration of these AI modalities allows organizations to improve talent acquisition accuracy, enhance employee engagement and retention, and align skill development initiatives with long-term organizational goals. The paper also examines critical implementation challenges, including data governance, ethical responsibility, algorithmic bias, and workforce readiness. Additionally, it highlights the need for transparent AI adoption and continuous human oversight to ensure responsible HR practices. By presenting a forward-looking framework, this study offers valuable insights for practitioners and researchers aiming to leverage AI-driven HR strategies to build agile, intelligent, and sustainable talent ecosystems in smart enterprise environments.